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Geocoding recommender: An algorithm to recommend optimal online geocoding services for applications

Karimi, HA and Sharker, MH and Roongpiboonsopit, D (2011) Geocoding recommender: An algorithm to recommend optimal online geocoding services for applications. Transactions in GIS, 15 (6). 869 - 886. ISSN 1361-1682

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Today, many services that can geocode addresses are available to domain scientists and researchers, software developers, and end-users. For a number of reasons, including quality of reference database and interpolation technique, a given address geocoded by different services does not often result in the same location. Considering that there are many widely available and accessible geocoding services and that each geocoding service may utilize a different reference database and interpolation technique, selecting a suitable geocoding service that meets the requirements of any application or user is a challenging task. This is especially true for online geocoding services which are often used as black boxes and do not provide knowledge about the reference databases and the interpolation techniques they employ. In this article, we present a geocoding recommender algorithm that can recommend optimal online geocoding services by realizing the characteristics (positional accuracy and match rate) of the services and preferences of the user and/or their application. The algorithm is simulated and analyzed using six popular online geocoding services for different address types (agricultural, commercial, industrial, residential) and preferences (match rate, positional accuracy). © 2011 Blackwell Publishing Ltd.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Sharker, MHmhs37@pitt.eduMHS37
Roongpiboonsopit, D
Date: 1 December 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Transactions in GIS
Volume: 15
Number: 6
Page Range: 869 - 886
DOI or Unique Handle: 10.1111/j.1467-9671.2011.01293.x
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1361-1682
Date Deposited: 07 Jul 2012 14:04
Last Modified: 31 Jul 2020 14:55


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